Search Results - (( java application optimized algorithm ) OR ( learning practice (problems OR problem) algorithm ))

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  1. 1

    Graph-Based Algorithm With Self-Weighted And Adaptive Neighbours Learning For Multi-View Clustering by He, Yanfang

    Published 2024
    “…Although the swmcan algorithm solves the noise problem in multi-view data, its initial and final graphs are independent and cannot learn from each other. …”
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    Thesis
  2. 2

    Developing computational thinking competencies through constructivist argumentation learning: a problem-solving perspective by Voon, Xin Pei, Wong, Su Luan, Wong, Lung Hsiang, Md Khambari, Mas Nida, Syed Abdullah, Sharifah Intan Sharina

    Published 2022
    “…Argumentation is a scientific literacy practice focused on developing scientific thinking skills associated with problem-solving. …”
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    Article
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    Performance evaluation of real-time multiprocessor scheduling algorithms by Alhussian, H., Zakaria, N., Abdulkadir, S.J., Fageeri, S.O.

    Published 2016
    “…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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    Conference or Workshop Item
  5. 5

    Virtual reality in algorithm programming course: practicality and implications for college students by Dewi, Ika Parma, Ambiyar, Mursyida, Lativa, Effendi, Hansi, Giatman, Muhammad, Efrizon, Hanafi, Hafizul Fahri, Ali, Siti Khadijah

    Published 2024
    “…The analysis of learning problems shows the unavailability of interactive learning media that can support various learning styles of students in programming algorithm materials. …”
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    Article
  6. 6

    Genetic Algorithm for vehicle routing problem / W.Nurfahizul Ifwah W.Alias, Mohd Shaiful Sharipudin and Shamsunarnie Mohamed Zukri. by W.Alias, W.Nurfahizul Ifwah, Sharipudin, Mohd Shaiful, Mohamed Zukri, Shamsunarnie

    Published 2012
    “…The GA are adaptive learning heuristic and they are generally referred to in plural, because several versions exist that are adjustments to different problems. …”
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    Research Reports
  7. 7

    Using predictive analytics to solve a newsvendor problem / S. Sarifah Radiah Shariff and Hady Hud by Shariff, S. Sarifah Radiah, Hud, Hady

    Published 2023
    “…Secondly, in solving every Machine Learning problem, there is no one algorithm superior to other algorithms. …”
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    Book Section
  8. 8

    The influence of students’ concept of mole, problem representation ability and mathematical ability on stoichiometry problem solving by Taha, Hafsah, Hashim, Rosnani, Ismail, Zurida, Jusoff, Kamaruzaman, Khoo, Yin Yin

    Published 2014
    “…The challenge of enhancing students’ performance in solving stoichiometry problems remain a daunting task as many resort to just teaching how solve stoichiometry problems algorithmically. …”
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    Article
  9. 9

    Why coding? Why now? From coding to computational thinking through computational mathematics problem based learning (CM-PBL) by Ku, Soh Ting, Talib, Othman, Md. Yunus, Aida Suraya, Zolkepli, Maslina

    Published 2019
    “…To achieve these goals, computational mathematics problem based learning (CM-PBL) instructional strategy is developed to promote an active learning environment for classroom management involving problem solving. …”
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    Conference or Workshop Item
  10. 10

    Route Optimization System by Zulkifli, Abdul Hayy

    Published 2005
    “…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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    Final Year Project
  11. 11

    Grid base classifier in comparison to nonparametric methods in multiclass classification by Moheb Pour, Majid Reza, Jantan, Adznan, Saripan, M. Iqbal

    Published 2010
    “…The two algorithms were compared, and the proposed algorithm was found to be able to both learn and classify quickly. …”
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    Article
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    Grid-Based Classifier as a Replacement for Multiclass Classifier in a Supervised Non-Parametric Approach by Moheb Pour, Majid Reza

    Published 2009
    “…The two algorithms were compared, and the proposed algorithm was found to be able to both learn and classify quickly. …”
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    Thesis
  14. 14

    The effectiveness of problem-based serious games on learning and learning motivation in the context of 3D computer graphics / Meisam Moradi by Meisam , Moradi

    Published 2022
    “…To this end, the researcher designed a quantitative study with a between subject design and aimed at implementing a treatment course using the problem-based SG. Prior to that, a problem-based SG was designed by considering principles of problem-based learning (i.e., higher order thinking, collaborative learning, and cognitive thinking) and serious games (playing for learning). …”
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    Thesis
  15. 15

    A framework of modified adaptive neuro-fuzzy inference engine by Hossen, Md. Jakir

    Published 2012
    “…This study suggests that the MANFIE is a suitable modified framework as an adaptive neuro-fuzzy inference engine and is ready to be applied to practical application problems.…”
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    Thesis
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    Optimizing in-car-abandoned children’s sounds detection using deep learning algorithms / Nur Atiqah Izzati Md Fisol by Md Fisol, Nur Atiqah Izzati

    Published 2023
    “…Children abandoned in vehicles is a critical issue that has led to numerous fatal injuries worldwide. To address this problem, an optimized in-car-abandoned children's sounds detection model using deep learning algorithms is proposed. …”
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    Student Project
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    Green building valuation based on machine learning algorithms / Thuraiya Mohd ... [et al.] by Mohd, Thuraiya, Jamil, Syafiqah, Masrom, Suraya, Ab Rahim, Norbaya

    Published 2021
    “…In the cycle of Industrial Revolution 4.0 (IR 4.0), many issues in the industries can be solved with implementation of artificial intelligence approaches, including machine learning models. Designing an effective machine learning model for prediction and classification problems is a continuous effort. …”
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    Conference or Workshop Item
  20. 20

    Extending the decomposition algorithm for support vector machines training by Zaki, N,M., Deris, S., Chin, K.K.

    Published 2003
    “…One can design a dedicated optimizer that will take full advantage of the specific nature of the QP problem in SVM training. The decomposition algorithm developed by Osuna et al. (1997a) reduces the training cost to an acceptable level. …”
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    Article